Solving the Variational Inequality Problem Defined on Intersection of Finite Level Sets
Songnian He and
Caiping Yang
Abstract and Applied Analysis, 2013, vol. 2013, 1-8
Abstract:
Consider the variational inequality of finding a point satisfying the property , for all , where is the intersection of finite level sets of convex functions defined on a real Hilbert space and is an -Lipschitzian and -strongly monotone operator. Relaxed and self-adaptive iterative algorithms are devised for computing the unique solution of . Since our algorithm avoids calculating the projection (calculating by computing several sequences of projections onto half-spaces containing the original domain ) directly and has no need to know any information of the constants and , the implementation of our algorithm is very easy. To prove strong convergence of our algorithms, a new lemma is established, which can be used as a fundamental tool for solving some nonlinear problems.
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:942315
DOI: 10.1155/2013/942315
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